Traditional surface texturing methods often rely on chemical etching, lithography, or laser patterning techniques that pose limitations in terms of resolution, scalability, and the ability to preserve underlying bulk properties of metals. The new approach, referred to as electropulsing-assisted laser shock imprinting (E-LSI), ingeniously fuses the high strain-rate plastic deformation induced by laser shock waves with the enhanced material softening effects generated by controlled electropulses. This combination enables precise imprinting of complex hierarchical designs, mimicking naturally occurring biomimetic structures, such as lotus leaves, shark skin, or butterfly wings—surfaces renowned for their superior hydrophobicity, friction reduction, and light manipulation.

At the heart of E-LSI lies the synchronization of ultra-short and intense laser pulses that generate shock waves capable of plastically deforming metal surfaces with electropulses applied simultaneously or in sequence to promote localized and transient reductions in metal strength. Electropulsing, as a physical phenomenon, temporarily alters dislocation mobility and activates thermally assisted plasticity without damaging the metal microstructure irreversibly. This synergistic effect permits the imprinting process to occur at lower pressures while achieving deeper and more intricate surface features than conventional laser shock alone.

The hierarchical nature of the engraved surfaces is critical. By manipulating the resonance between the laser shock wave parameters and the electropulsing regime, the research team successfully fabricated surfaces featuring multi-scale roughness ranging from the nanoscale to the microscale. These layered architectures emulate natural surfaces that provide exceptional functionalities such as self-cleaning, anti-biofouling, and directional wettability. The possibility of generating such complex textures on bulk metals paves the way for designing next-generation materials with tailor-made surface properties built intrinsically into the substrate.

One of the remarkable advantages of the E-LSI method is its capacity to directly form textures on bulk metals without necessitating coating or layering. This aspect not only simplifies the manufacturing workflow but also improves functional durability since the imprinted structures become integral to the metal, resisting delamination, wear, and chemical degradation that often plague applied coatings or additive textures. The approach is compatible with a variety of metals including titanium, stainless steel, and aluminum alloys, showcasing its versatility across materials widely used in biomedical devices, automotive components, and aerospace structures.

In experimental validations, titanium samples treated with E-LSI demonstrated markedly enhanced hydrophobicity, with contact angle measurements indicating superior water repellency relative to untreated counterparts. Microscopic analysis revealed the pristine formation of micro-ridges and nanoprotrusions that contribute to water droplet repulsion, mimicking characteristics seen in lotus leaf surfaces. Simultaneously, mechanical testing underscored the preservation of bulk strength and fatigue resistance, highlighting that the electropulsing component successfully mitigates the typical embrittlement associated with laser-based surface modification techniques.

Beyond hydrophobicity, the bio-inspired textures impart anti-reflective properties that hold promising applications in optics and photovoltaics. By adjusting the laser and electropulsing parameters, surfaces were tailored to reduce light glare and enhance absorption across visible and near-infrared spectra. This tunability was exploited to demonstrate prototype metal surfaces potentially suitable for next-generation solar cell substrates, where maximizing light capture remains a pivotal challenge. The integration of surface engineering with bulk metal functionality reduces complexity and weight, critical factors in sustainable and efficient energy solutions.

Electropulsing-assisted laser shock imprinting also introduces an environmentally friendly alternative to traditional chemical surface treatments, eliminating the need for harmful acids, solvents, or multi-step coatings. The process uses clean physical principles, harnessing electromagnetic energy and precise laser input, providing a green manufacturing path that aligns with increasing industry emphasis on sustainability and waste reduction. The capability to rapidly produce complex patterns with minimal post-processing further underscores its industrial scalability and economic feasibility.

Future extensions of this technology may venture into adaptive surface design, where electropulses and laser shocks are dynamically controlled through feedback systems to generate surfaces optimized for real-time environmental interactions. This would open possibilities for “smart metals” with surfaces that respond to humidity, temperature, or mechanical stimuli by changing their wettability, friction, or reflectiveness. Such advancements could transform fields ranging from microfluidics and wearable devices to aerospace protection systems.

The interdisciplinary research team behind this discovery combines expertise in laser physics, materials science, surface chemistry, and mechanical engineering, underscoring the collaborative nature required to innovate at the intersection of diverse scientific domains. Their findings, detailed in the latest issue of npj Advanced Manufacturing, provide a comprehensive blueprint for harnessing combined physical effects to augment material functionality beyond classical limits.

In conclusion, the introduction of electropulsing-assisted laser shock imprinting represents a paradigmatic shift in surface engineering, enabling hierarchical, bio-inspired surfaces directly on bulk metals with unprecedented precision, efficiency, and scalability. This transformative approach opens a new horizon in functional material design, promising to catalyze revolutionary applications in industries where surface interactions dictate performance, lifespan, and environmental compatibility. As this technology progresses from laboratory demonstration to industrial adoption, it has the potential to redefine manufacturing standards and empower the creation of materials that truly reflect nature-inspired sophistication.

Subject of Research: Surface engineering of bulk metals using combined electropulsing and laser shock imprinting techniques

Article Title: Electropulsing-assisted laser shock imprinting for hierarchical and bio-inspired surface on bulk metal

Article References:
Liu, X., Wang, Y., Jiang, H. et al. Electropulsing-assisted laser shock imprinting for hierarchical and bio-inspired surface on bulk metal. npj Adv. Manuf. 2, 44 (2025). https://doi.org/10.1038/s44334-025-00053-w

Image Credits: AI Generated

Karen Lozano, Trustee Professor and Chair of the Department of Materials Science and Nanoengineering, has carved a niche at the forefront of nanofiber technology. Her pioneering research centers on the scalable design and production of nanofiber-based systems, whose applications are far-reaching—touching key sectors such as filtration, medical devices, energy storage, and advanced composite materials. Lozano’s ingenuity led to the invention of Forcespinning, a patented centrifugal technique that represents a paradigm shift in nanofiber manufacturing by enabling high-throughput production without relying on traditional high-voltage processes like electrospinning. This process not only boosts industrial scalability but also expands the material design space, enabling engineers and scientists to tailor nanofiber structures with unprecedented precision and efficiency.

Lozano’s contributions extend well beyond the laboratory. She holds over forty patents and patent applications and has demonstrated entrepreneurial prowess by co-founding two companies dedicated to bringing her innovations to commercialization. Her work bridges the often disparate worlds of academic research and practical application, making advanced materials accessible and economically viable for industry and societal benefit. Lozano’s dedication to diversity and inclusion is equally commendable; she has tirelessly worked to establish a STEM education pipeline that empowers underrepresented groups to enter and thrive in science and engineering fields. Her visionary leadership demonstrates how scientific advancement and social equity can be pursued hand in hand.

Parallel to this, Eduardo Salas, the Allyn R. and Gladys M. Cline Chair of Psychological Sciences, has profoundly influenced the science of teamwork and organizational psychology. With a career spanning over four decades, Salas has authored an astounding 650 journal articles and book chapters, in addition to seminal books that have shaped team training protocols and performance assessment tools. His research elucidates how high-performing teams operate under pressure across critical and diverse environments, including healthcare systems, military operations, NASA exploratory missions, aviation safety, and the energy sector.

Salas’ contributions are at the forefront of applied psychology, focusing on the empirical evaluation of team learning, collaboration, and adaptability. His work provides critical frameworks for enhancing team resilience and effectiveness, translating scientific insights into actionable strategies that organizations employ worldwide. Salas’ leadership at Rice includes his tenure as department chair, where he fostered interdisciplinary initiatives that advance social science research grounded in real-world relevance. His accolades include the American Psychological Association’s Award for Outstanding Lifetime Contributions to Psychology, exemplifying the breadth and depth of his scholarly and practical impact.

The election of Lozano and Salas to the American Academy of Arts and Sciences not only celebrates individual excellence but also raises the profile of Rice University as a dynamic environment where cutting-edge science and innovative social research coalesce. The Academy, founded in 1780, is a multidisciplinary body that honors leaders whose achievements have redefined academic and societal boundaries—figures such as Benjamin Franklin, Albert Einstein, and Martin Luther King Jr. The induction ceremony scheduled for October 11th in Cambridge, Massachusetts, affirms their roles among this lineage of visionary thinkers.

Within the realm of nanomaterials, Lozano’s Forcespinning process exemplifies how novel manufacturing techniques can revolutionize material properties at the nano-scale. Unlike traditional electrospinning, which relies on high-voltage electric fields to draw fibers, Forcespinning exploits centrifugal force to eject polymer jets, achieving continuous and uniform nanofiber production. This approach significantly expands throughput, paving the way for scalable industrial use and widespread adoption in diverse applications such as air and water filtration membranes, tissue engineering scaffolds, and next-generation battery separators. Her work is closely aligned with advancing sustainable technologies that demand high-performance, functional nanostructures.

Beyond technical innovation, Lozano’s commitment to translating engineering breakthroughs into societal value is evident through her advocacy for inclusive STEM education. She champions curricular and experiential programs designed to foster leadership and innovation among students from underrepresented demographics, thereby broadening participation in critical scientific fields. Such efforts contribute to cultivating a diverse next generation of innovators, essential for addressing complex global challenges through science and technology.

Salas’ psychological research complements this by focusing on the human factors that underpin effective team-based problem-solving in high-risk and complex environments. His work has elucidated how variables such as communication, shared mental models, and trust influence team dynamics and outcomes. By integrating empirical science with organizational practice, Salas has helped develop standardized team training interventions that improve performance and safety in sectors where errors can be catastrophic. His influence reaches policymakers, organizational leaders, and practitioners seeking evidence-based strategies to enhance workforce execution under stress.

At Rice University, both Lozano and Salas embody the integration of scientific rigor, societal impact, and educational mentorship. Their dual election to the American Academy of Arts and Sciences thus symbolizes a convergence of technological innovation and social science scholarship addressing some of the most pressing challenges of our time. Their work not only advances fundamental understanding but also delivers practical tools and knowledge that improve industries, communities, and educational systems.

The broader implications of their recognition extend to the ongoing discourse on fostering multidisciplinary approaches within research universities. As problems such as climate change, public health crises, and technological inequality demand complex, multifaceted solutions, the example set by Lozano and Salas underscores the power of combining materials science, engineering, psychology, and organizational studies to generate holistic advances. Their careers encourage aspiring scholars to cross traditional boundaries and seek impact across scientific and societal domains.

In reflecting on her election, Karen Lozano emphasized the collaborative nature of scientific discovery and the importance of community support. She articulated a vision where innovation and inclusivity are mutually reinforcing forces propelling the engineering and scientific enterprise forward. Meanwhile, Eduardo Salas expressed gratitude for the recognition and reaffirmed his commitment to applied research that translates into improved real-world outcomes, highlighting his dedication to students and colleagues at Rice University.

As Rice continues to foster world-class research and education, the accolades of Lozano and Salas spotlight the university’s role in driving both pioneering science and transformative social research. Their election to the American Academy of Arts and Sciences reinforces a legacy of excellence and underscores the enduring value of scholarship that seeks both knowledge and meaningful societal impact.

Subject of Research: Nanofiber manufacturing technology and industrial-organizational psychology focused on team performance and collaboration.

Article Title: Two Rice University Professors Elected to the American Academy of Arts and Sciences for Pioneering Work in Nanotechnology and Team Science.

News Publication Date: April 23, 2025.

Web References:

• https://profiles.rice.edu/faculty/karen-lozano-phd-nae-fnai
• https://profiles.rice.edu/faculty/eduardo-salas
• https://news.rice.edu
• https://twitter.com/riceunews

Image Credits: Photo courtesy of Karen Lozano/Rice University.

Keywords: Scientific community; Basic research; Education research; Patents; Nanofibers; Social sciences; Psychological science; Applied sciences and engineering; Engineering; Materials engineering.

Recent research conducted by a collaborative team from the Johns Hopkins Applied Physics Laboratory (APL) and the Johns Hopkins Whiting School of Engineering has heralded a new era in titanium alloy production. By leveraging cutting-edge AI technology, the researchers have managed to accelerate the manufacturing process while concurrently enhancing the mechanical properties of the alloys. This breakthrough could redefine the manufacturing protocols for applications in aerospace, medical, and military fields, where performance and reliability are crucial.

Titanium alloys, especially the widely used Ti-6Al-4V, are recognized for their impressive strength-to-weight ratio, making them ideal for demanding applications. The manufacturing of such alloys typically involves an intricate interplay of various parameters — including heat, pressure, and speed — during the production process. Traditionally, achieving optimal results necessitated a laborious trial-and-error approach, which could take months or even years. However, with the new AI-driven methodologies, this process is becoming more efficient, offering quicker results and enhanced product quality.

The study published in the journal “Additive Manufacturing” details how the research team employed AI-driven models to create a comprehensive mapping of previously unexplored manufacturing conditions. This innovative methodology focuses on laser powder bed fusion, a specific 3D printing technique pertinent to titanium alloys. The results demonstrated a significantly broader processing window than previously anticipated, enabling the production of denser and higher-quality titanium components with customizable mechanical properties.

One of the remarkable aspects of this research is the ability of AI to challenge and overturn long-standing assumptions regarding processing limits. For years, it was believed that certain processing parameters were set in stone and should not be exceeded. However, the Johns Hopkins team utilized AI to push these boundaries, discovering new processing regions that allow manufacturers to enhance both the speed of production and the material strength simultaneously. This revolutionary approach shifts the paradigm from conventional manufacturing techniques to a more adaptable and data-driven process.

Morgan Trexler, the program manager for the Science of Extreme and Multifunctional Materials at APL, highlighted the urgency of accelerating manufacturing capabilities in light of modern operational demands. He stated that advancing research in laser-based additive manufacturing is crucial for ensuring that production meets the evolving challenges faced by industries. This sentiment resonates throughout many sectors, where timely production of high-performance materials can influence the success of missions in defense as well as commercial applications.

The partnership between machine learning and manufacturing has yielded profound insights into how titanium can be processed more effectively. Unlike traditional methods that rely on gradual adjustments and empirical observations, AI employs techniques like Bayesian optimization. This approach dynamically predicts the most advantageous next experiments based on previous outcomes, allowing researchers to explore an extensive range of configurations in a significantly shorter timeframe. As a result, the process becomes less tedious and more results-oriented, facilitating rapid advancements.

Safety and reliability are paramount in industries that utilize titanium alloys. For instance, in aviation or military applications, even minor discrepancies can result in catastrophic failures. The expansive processing capabilities granted by this research enable the fine-tuning of titanium component properties specific to their intended use. Thus, engineers can now design and select optimal processing conditions tailored to meet the precise demands of various extreme environments.

The implications of this research extend beyond enhanced manufacturing efficiency. The composites produced through this AI-based methodology could lead to groundbreaking advancements in the performance capabilities of aircraft, naval vessels, and medical devices. As the capability to produce stronger, lighter components at accelerated speeds becomes a reality, industries stand poised to better meet market demands and operational readiness without sacrificing quality or safety.

Moreover, the research team envisions future applications where in situ monitoring could drastically change additive manufacturing. By integrating real-time adjustments into the production process, manufacturers may achieve the level of quality and precision comparable to traditional methods in a fraction of the time, while also eliminating excess waste from post-processing steps. This vision represents a paradigm shift in additive manufacturing technologies that could revolutionize entire industries.

The intersection of AI and material science marks a pivotal point for the evolution of manufacturing techniques. Researchers at Johns Hopkins are already exploring broader applications of the AI-driven methodologies beyond titanium alloys. This could potentially lead to enhancements across various metals and manufacturing techniques, expanding options for engineers and manufacturers seeking state-of-the-art materials tailored to the specific requirements of their applications.

The rapid development and deployment of AI in manufacturing demonstrate a growing trend towards data-driven decision-making processes in material science. By harnessing the capabilities of machine learning, researchers can gain deeper insights into material behavior, enhance predictions of material performance, and uncover previously undiscovered correlations between processing conditions and final product properties. This advancement reinforces the commitment to innovation in the field and establishes a new standard for precision engineering.

The possibility of applying these breakthroughs to other metals and manufacturing techniques will undoubtedly spur further research and development, catalyzing innovations that could redefine manufacturing protocols in a multitude of industries. As the exploration continues, the expanded reach of AI-driven material optimization can lead to the development of new alloys specifically designed to maximize the advantages of additive manufacturing.

This groundbreaking research is significant not merely for the immediate benefits to titanium alloy production but also for the foundational changes it heralds in material science and manufacturing at large. As researchers continue to explore and innovate, the realm of manufacturing holds enormous potential for new materials, enhanced production capabilities, and pioneering solutions for complex engineering challenges. The future of additive manufacturing is bright, paved by the marriage of AI and cutting-edge research.

In conclusion, this wave of innovation underscores the transformative power of AI in advancing manufacturing technologies, specifically in the realm of high-performance materials. The implications of these findings and methodologies are far-reaching, harboring the potential to revolutionize production processes and deliver superior materials across diverse fields that demand exceptional quality and performance.

Subject of Research:
Article Title: AI Reveals New Way to Strengthen Titanium Alloys and Speed Up Manufacturing
News Publication Date: 6-Jan-2025
Web References:
References:
Image Credits: Johns Hopkins APL/Ed Whitman

Keywords

Additive manufacturing, Titanium, Laser systems, Materials testing, Alloys

SustaPack has been initiated with a substantial backing of £1 million from the Engineering and Physical Sciences Research Council (EPSRC), integrated into the broader UKRI co-investing program. This investment aims to enhance the capabilities of Pulpex, which is already making notable advancements in developing patented techniques for producing eco-friendly, degradable bottles derived from natural wood fibers. This pioneering approach offers a sustainable replacement for conventional plastic packaging, enabling recycling within existing paper waste streams.

However, for this revolutionary packaging technology to achieve commercial viability, there is an urgent need for fundamental research that seeks to overcome existing obstacles. These include the development of novel analytical techniques to enhance product quality, optimize performance, and minimize imperfections throughout the manufacturing process.

One of the project’s key figures, Scott Winston, CEO of Pulpex, expressed enthusiasm regarding the partnership with the University of Surrey. He underscored the importance of this collaboration in advancing safe and sustainable packaging solutions, positioning it as beneficial for both consumers and brands. The SustaPack partnership is envisioned not only to address the urgent demand for environmentally responsible packaging but also to assist brand owners in achieving their Net-Zero targets and reducing carbon footprints along supply chains.

At the heart of the innovative packaging solutions being developed is a multi-layered barrier coating that effectively prevents leaks while also thwarting the permeation of oxygen. This critical feature ensures the preservation of product quality, which is particularly vital for beverages and other liquid products. Researchers aim to develop new methodologies that significantly reduce energy usage and water consumption associated with applying these coatings, ultimately extending the shelf life of products significantly.

Professor Joseph Keddie from the University of Surrey’s School of Mathematics and Physics has been instrumental in the project. He emphasized the significance of combining advanced coating processes, mechanistic modeling, computer vision, and artificial intelligence (AI) to create a ‘dry’ spray coating method that is both food-safe and degradable. This groundbreaking technology has the potential to shift the paradigm in packaging technology and contribute to considerable reductions in plastic waste and carbon emissions during production.

A critical aspect of this innovative approach involves employing thermal imaging technology to detect defects in wet coatings as they develop. This real-time monitoring enables immediate adjustments utilizing AI systems, thereby enhancing the accuracy and reliability of the manufacturing process. Additionally, multi-scale mechanistic modeling will assist researchers in pinpointing the origins of imperfections and eliminating them, ensuring the highest levels of packaging performance are met.

The integration of AI-powered computer vision techniques aims to detect production defects instantly, optimize materials and processes, and achieve absolute reliability in manufactured packaging products. The outcomes of the SustaPack initiative are poised to establish new benchmarks in sustainable packaging, assisting brands in lessening their environmental impact amid increasing regulatory demands while simultaneously providing consumers with eco-friendly alternatives to combat plastic pollution.

With a focus on developing a circular economy, the project represents a significant step forward in addressing one of the most pressing environmental issues of our time: plastic pollution. As consumer awareness and regulatory measures surrounding sustainability intensify, the demand for innovative, environmentally friendly packaging solutions will only escalate.

SustaPack is more than just a research project; it embodies a transformative approach that integrates technology and sustainability. The collaborative effort between academia and industry illustrates a forward-thinking strategy to tackle environmental challenges and highlights the urgency and importance of innovation in securing a sustainable future.

As the world collectively strives for a greener planet, initiatives like SustaPack represent a beacon of hope, demonstrating the power of innovation and collaboration in creating concrete solutions to environmental problems. This groundbreaking project not only aims to redefine packaging solutions but also serves as an inspiring example of how partnerships can lead to meaningful change in the fight against plastic pollution.

The anticipated results of the SustaPack project have the potential to set unprecedented standards for environmentally friendly packaging, thereby promoting a healthier planet for future generations. By foregrounding sustainability within the packaging sector, organizations can play a pivotal role in reshaping consumer behavior and positively influencing ecological outcomes.

Ultimately, the SustaPack initiative reflects a growing recognition that sustainable practices are integral to modern industry. The collaboration between Pulpex and the University of Surrey signifies a commitment to innovation that prioritizes environmental stewardship, making it a significant milestone in the ongoing endeavor toward a circular economy and a reduced reliance on plastics.

Through concerted efforts in research and development, organizations involved in SustaPack are not only responding to market demands but are, in essence, defining the future of packaging and sustainability. The initiative serves as an inspiring reminder of the potential for collaborative efforts to yield solutions that benefit both businesses and the environment.

Subject of Research: Sustainable packaging development
Article Title: Transforming Packaging: The SustaPack Initiative Against Plastic Pollution
News Publication Date: October 2023
Web References: Pulpex Website
References: Engineering and Physical Sciences Research Council (EPSRC)
Image Credits: University of Surrey

Keywords: sustainable packaging, plastic pollution, AI, eco-friendly, University of Surrey, Pulpex, research initiative, SustaPack, environmental impact, manufacturing processes, degradable materials, innovative technology.