Results 131 to 140 of about 696,030 (310)
Asking the 5 W's for designing next‐generation bioprocessing
AIChE Journal, EarlyView.Abstract Biotechnology is expanding beyond traditional, centralized fermentation and toward next‐generation bioprocessing paradigms that emphasize flexible deployment outside the laboratory with application‐specific performance. However, many bioprocesses fail to translate beyond proof‐of‐concept into industrially viable systems because early design ...
Sangdo Yook +4 more
wiley +1 more source
Jennifer Jacobs Professor of Civil and Environmental Engineering (CEPS) travels to England [PDF]
, 2015 The UNH’s Center for International Education grant provided financial support to accept a seminar invitation and to meet with colleagues at Nottingham University and Newcastle University, England about climate change and infrastructure.
Jacobs, Jennifer M.
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A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction
Advanced Intelligent Discovery, EarlyView.This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai +8 more
wiley +1 more source
The process of design for environment within global manufacturing companies [PDF]
, 1996 Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1996, and Thesis (M.S.)--Massachusetts Institute of Technology, Dept.
Shah, Neha, Winter, J. Douglas
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Advanced Intelligent Discovery, EarlyView.We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.The hydration behavior of C3S in seawater‐relevant solutions is studied based on experiments, boundary nucleation and growth (BNG) modeling, and machine learning. The main ions included in seawater modify hydration mechanisms, with MgCl2 showing the strongest acceleration effect at the same concentration.
Yanjie Sun +6 more
wiley +1 more source
Engineering needs environmental and global thinkers: a contextual analysis of student learning preferences [PDF]
, 2006 The need for engineering graduates who are environmentally and globally aware is now a recognised priority in professional practice. This paper presents an analysis of learning preferences of entry level students in a course which builds an early ...
Brumley, J, Buckeridge, J, Grundy, C
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Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source
Coastal Altimetry and Applications [PDF]
, 1999 This report was prepared by Dr. Michael Anzenhofer of the Geo-Forschungs-Zentrum (GFZ) Potsdam, Germany, while visiting the Department of Civil and Environmental Engineering and Geodetic Science (CEEGS), Ohio State University, during 1997-1998. The visit
Anzenhofer, Michael +2 more
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