Results 121 to 130 of about 12,729,014 (274)

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Constrained Optimization Involving Expensive Function Evaluations: A Sequential Approach [PDF]

This paper presents a new sequential method for constrained non-linear optimization problems.The principal characteristics of these problems are very time consuming function evaluations and the absence of derivative information.
Brekelmans, R.C.M., Hamers, H.J.M., Hertog, D. den, Driessen, L.   +3 more
core  

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Multidisciplinary Design Optimization of Low Wind Speed Wind Turbine

Kongzhi Yu Xinxi Jishu, 2013
It discusses the relationship between characteristics of wind resource and aerodynamics, structural dynamics, structure, control performance, power performance of wind turbine.
WANG Dian, WU Faming, WANG Lei, LI Huixin   +3 more
doaj  

A Multistage Venturi Amplifier for Rapid Inflation of Soft Robots

Advanced Intelligent Systems, EarlyView.
This work presents the amplifier inflator for soft robotic systems (AIRS), a compact, lightweight, and effective device for rapidly deploying inflatable structures to high pressure. By integrating a check valve with a Venturi‐based air entrainer, AIRS delivers an initial high‐flow output followed by pressurization, supporting fast inflation and ...
Saba Firouznia, Ciqun Xu, Tim Helps, Majid Taghavi, Jonathan Rossiter   +4 more
wiley   +1 more source

The Meta-Model Approach for Simulation-based Design Optimization. [PDF]

The design of products and processes makes increasing use of computer simulations for the prediction of its performance. These computer simulations are considerably cheaper than their physical equivalent. Finding the optimal design has therefore become a
Stinstra, E.
core  

Navigating Asparaginase Treatment for Patients With Acute Lymphoblastic Leukemia: US Consensus Panel Recommendations on the Role of Multidisciplinary Care

American Journal of Hematology, EarlyView.
ABSTRACT Asparaginase is a critical treatment component for patients with acute lymphoblastic leukemia/lymphoblastic lymphoma (ALL/LBL). However, the successful delivery of asparaginase‐based therapy remains challenging across care settings due to its complex administration, distinct toxicity profile, prolonged treatment duration, and the need for ...
Amir Ali, Grace Elsey, Kayla Fulginiti, Zanette Kanani‐Bradley, Holly R. Kubaney, Sandra Kurtin, Theresa Nguyen, Jennifer Turchina, Charlotte B. Wagner   +8 more
wiley   +1 more source

Photoactivated Platinum Complexes: Targeting Membrane Proteins and Organelles for Precision Cancer Therapy

Angewandte Chemie, EarlyView.
This review highlights an emerging anticancer approach integrating platinum agents into photodynamic therapy (PDT) and photoactivated chemotherapy (PACT) systems, further augmented by cancer cell membrane‐ and organelle‐targeting. By directing photoactivated platinum complexes from nontargeted distribution to cancer cells or defined subcellular sites ...
Shu Chen, Qiyuan Zhou, Jiaqian Xu, Guangyu Zhu   +3 more
wiley   +2 more sources

Application of Multidisciplinary Design Optimization on Advanced Configuration Aircraft

Journal of Aerospace Technology and Management, 2017
An optimization strategy is constructed to solve the aerodynamic and structural optimization problems in the conceptual design of double-swept flying wing aircraft. Aircraft preliminary aerodynamic and structural design optimization is typically based on
Yalin Pan, Jun Huang, Feng Li, Chuxiong Yan   +3 more
doaj