Results 161 to 170 of about 27,467 (293)

Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions

Advanced Functional Materials, EarlyView.
Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley   +1 more source

Sustainable machining of heat resistant superalloys using hybrid nanofluid based minimum quantity lubrication. [PDF]

Sci Rep
Chohan JS, Samantaray S, Bupesh Raja VK, Patil N, Kaladhar M, Mann VS, Abate L, Ghodhbani R.   +7 more
europepmc   +1 more source

Dry and Cryogenic Machining: Comparison from the Sustainability Perspective [PDF]

, 2011
Dillon, O.W., Jawahir, I.S., Lu, T., Rotella, Giovanna, Settineri, Luca   +4 more
core  

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Structural Integrity Enhancement and Sustainable Machining Process Optimization for Anti-Lock Braking System Hydraulic Valve Blocks. [PDF]

Materials (Basel)
Rusu AN, Dumitrascu DI, Dumitrascu AE.
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

An experimental and modelling approach to proclaim sustainable machining using avocado oil-based nano-cutting fluids. [PDF]

Sci Rep
Anebo AA, Chenrayan V, Shahapurkar K, Gebremaryam G, Petrů J, Soudagar MEM, Bhaviripudi VR, Rajagopal R, Bashir MN.   +8 more
europepmc   +1 more source

Mechanotransducing Organic Electrochemical Diode for Crosstalk‐Inhibited Artificial Skin

Advanced Functional Materials, EarlyView.
An innovative approach is presented to a stretchable mechanotransducing diode that unifies rectification and tactile‐sensing functionality. This approach enables to fabricate the diode that maintains a large rectification ratio (5 × 102) at a high operational frequency (100 Hz).
Taeyeong Kim, Seunggoo Baek, Garrett Lecroy, Hyeongseok Choi, Wonjeong Suh, Woosung Cho, Alberto Salleo, Unyong Jeong   +7 more
wiley   +1 more source

Sustainable machining of Inconel 718 using minimum quantity lubrication: Artificial intelligence-based process modelling. [PDF]

Heliyon
Farooq MU, Kumar R, Khan A, Singh J, Anwar S, Verma A, Haber R.   +6 more
europepmc   +1 more source

Evaluation of Soluble Oil vs. Semi Synthetic Metal Working Fluids at Toolamation Inc. [PDF]

Toolamation Inc. collaborated with technical assistance specialists from the Illinois Sustainable Technology Center (ISTC) to evaluate the metal working fluid (MWF) oil removal system and soluble-oil vs.
Boyle, Malcolm
core