Results 51 to 60 of about 27,291 (261)

A Status Report on Conflict Analysis in Mixed Integer Nonlinear Programming

, 2019
Mixed integer nonlinear programs (MINLPs) are arguably among the hardest optimization problems, with a wide range of applications. MINLP solvers that are based on linear relaxations and spatial branching work similar as mixed integer programming (MIP ...
A Forsgren, AH Land, AH Land, B Davey, C Mészáros, GP McCormick, GR Kocis, HW Kuhn, I Quesada, J Kronqvist, J Nocedal, J Nocedal, J Viswanathan, J Witzig, JF Benders, JP Marques-Silva, L Liberti, LG Khachiyan, MA Duran, ML Ginsberg, MR Kılınç, OK Gupta, P Bonami, R Fletcher, R Horst, RE Bixby, RJ Dakin, RM Stallman, S Mehrotra, S Vigerske, SA Vavasis, T Achterberg, T Achterberg, T Achterberg, T Berthold, T Berthold, T Westerlund, Y Jiang   +37 more
core   +1 more source

3D‐Nanoprinted Fluidically Steerable Soft Robotic Microcatheters

Advanced Robotics Research, EarlyView.
This work introduces a ∼3‐French (1 mm‐in‐diameter) soft robotic microcatheter fabricated by means of two‐photon direct laser writing. The 3D‐printed microcatheter enables remote, on‐demand steering via microfluidic actuation for guidewire‐free navigation of vascular networks as well as microcatheter‐mediated delivery of fluidic payloads to target ...
Bailey M. Felix, Molly Carton, Olivia M. Young, Noah Barnes, Jordi T. Andreou, Sarah McHugh, Jack E. McCann, Claudia Davis, Victoria Reddig‐Leiman, Afsah Kamran, Dheeraj Gandhi, Miroslaw Janowski, Jeremy D. Brown, Mark Fuge, Axel Krieger, Clifford R. Weiss, Christopher R. Bailey, Ryan D. Sochol   +17 more
wiley   +1 more source

Iteration Complexity of an Infeasible Interior Point Methods for Seconder-order Cone Programming and its Warmstarting [PDF]

, 2022
Yushu Chen, Guangwen Yang, Lu Wang, Qingzhong Gan, Haipeng Chen   +4 more
openalex   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Fabrication of High‐Density Multimodal Neural Probes Based on Heterogeneously Integrated CMOS

Advanced Science, EarlyView.
A chiplet‐based methodology democratizes active neural probe development on standard bulk CMOS services. This yields the first probe combining high‐density electrophysiology (416 electrodes) with calcium imaging (832 photodiodes) and complete on‐chip signal processing across 13 shanks.
Ju Hee Mun, Miji Kim, Wooyeon Shin, Yongjun Park, Kanghwan Kim, Il‐Joo Cho, Jae Won Shim, Min Soo Kim, Sunwoo Lee, Jeongjin Kim, Changhyuk Lee   +10 more
wiley   +1 more source

A recursively feasible and convergent Sequential Convex Programming procedure to solve non-convex problems with linear equality constraints [PDF]

, 2018
A computationally efficient method to solve non-convex programming problems with linear equality constraints is presented. The proposed method is based on a recursively feasible and descending sequential convex programming procedure proven to converge to
Romano, Marcello, Virgili-Llop, Josep
core   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Coping With Production Risk: Effects of Sown Plant Diversity on the Attractiveness of Crop Insurance in Grasslands

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Increased frequency of extreme weather events, particularly droughts, threatens grassland farming by destabilizing yields and farms' economic viability. We examine, theoretically and through numerical simulations, how sown plant diversity (natural insurance) influences the attractiveness of indemnity and drought index insurance (formal ...
Nicolas Alou, Sergei Schaub, Martin Quaas, Robert Finger   +3 more
wiley   +1 more source

Enhancing Sustainability Label Effectiveness Through Logo Design Modification: An Analysis of the EU Green Leaf Logo

Agribusiness, EarlyView.
ABSTRACT Sustainability labels can help support consumers select more socially and environmentally friendly options, thereby enhancing returns for conscientious producers and promoting the transition to a more sustainable food system. However, consumer confusion regarding labels' meaning undermines their effectiveness.
Monika Hartmann, Ching‐Hua Yeh, Matthew Gorton, Barbara Tocco, Áron Török   +4 more
wiley   +1 more source