Results 101 to 110 of about 3,721,154 (303)

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Industrial Waste Heat Utilization in the European Union—An Engineering-Centric Review

Energies
The efficient utilization of waste heat from industrial processes can provide a significant source of energy savings for production plants, as well as be a driver of sustainable operations and the abatement of emissions.
Vojtěch Turek, Bohuslav Kilkovský, Ján Daxner, Dominika Babička Fialová, Zdeněk Jegla   +4 more
doaj   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

A case study of the D4R laptop

, 2014
The D4R (Design for recycling, repair, refurbishment and reuse) laptop was developed in conjunction with MicroPro Computers (MPC), a Dublin-based computer manufacturer.
Ospina, Jose, Vidorreta, Itziar, Fitzpatrick, C., den Boer, Emilia, Vidorreta, I., Yang, M., Williams, Ian, Williams, I.D., Beigl, P., Hickey, Stewart, Maher, P., Ospina, J., Schischke, K., Hickey, S., Schischke, Karsten, Maher, Paul, Fitzpatrick, Colin, Yang, Mona, Beigl, Peter   +18 more
core   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Logistic paradigm for industrial solid waste treatment processes [PDF]

Social Sciences and Education Research Review, 2014
Due to the fact that industrial waste are a growing problem, both economic and environmental as their number is increasing every year, it is important to take measures to correctly dealing wi th industrial waste.
Janusz Grabara, Ioan Constantin Dima
doaj  

Proceedings of the 34th Industrial Waste Conference, May 8, 9 and 10, 1979

, 2009
Front matter only. Search under individual authors or titles for full text.Held at Purdue University, May 8, 9 and 10, 1979. The Purdue Industrial Waste Conference is under the direction of: the School of Civil Engineering, the Division of Conferences ...
Industrial Waste Conference (34th : 1979 : Purdue University);
core  

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Proceedings of the 41st Industrial Waste Conference, May 13, 14, 15, 1986

, 2009
Front matter only. Search under individual authors or titles for full text.Held at Purdue University, May 13, 14, 15, 1986. The Purdue Industrial Waste Conference is under the direction of: the School of Civil Engineering, the Division of Conferences ...
Industrial Waste Conference (41st : 1986 : Purdue University);
core  

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source