Results 71 to 80 of about 164,719 (284)

Optimal Antibody Purification Strategies Using Data-Driven Models

Engineering, 2019
This work addresses the multiscale optimization of the purification processes of antibody fragments. Chromatography decisions in the manufacturing processes are optimized, including the number of chromatography columns and their sizes, the number of ...
Songsong Liu, Lazaros G. Papageorgiou
doaj   +1 more source

Designing networks: A mixed‐integer linear optimization approach [PDF]

Networks, 2016
Designing networks with specified collective properties is useful in a variety of application areas, enabling the study of how given properties affect the behavior of network models, the downscaling of empirical networks to workable sizes, and the analysis of network temporal evolution.
Chrysanthos E. Gounaris, Karthikeyan Rajendran, Ioannis G. Kevrekidis, Christodoulos A. Floudas   +3 more
openaire   +2 more sources

Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model

Advanced Science, EarlyView.
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen, Yang Zhao, Boqiang Hu, Wuke Wang, Minfang Song, Annabeth Xinyu Zhao, Xiangyang Li, Gefei Wang, Yanfen Wang, Weiyan Zheng, Xinpeng Zhang, Xia Lin, Yanbin Yin, Xingxu Huang, Jinfang Zheng, Tingbo Liang   +15 more
wiley   +1 more source

DoE.MIParray: An R Package for Algorithmic Creation of Orthogonal Arrays

Journal of Open Research Software, 2020
The R package DoE.MIParray uses mixed integer optimization for creating well-balanced arrays for experimental designs. Its use requires availability of at least one of the commercial optimizers Gurobi or Mosek.
Ulrike Grömping
doaj   +1 more source

Practical Mixed-Integer Optimization for Geometry Processing [PDF]

, 2012
Solving mixed-integer problems, i.e., optimization problems where some of the unknowns are continuous while others are discrete, is NP-hard. Unfortunately, real-world problems like e.g., quadrangular remeshing usually have a large number of unknowns such that exact methods become unfeasible.
David Bommes, Henrik Zimmer, Leif Kobbelt   +2 more
openaire   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

Advanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas, Ankan Dutta, Shuvendu Das, Abu Musa Abdullah, Wanqing Zhang, Fatema Tuz Zohra, Huanyu Cheng   +6 more
wiley   +1 more source

Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications

Advanced Science, EarlyView.
We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo, Hyun‐Jae Lee, Sungwoo Kang, Jung‐Hoon Lee   +3 more
wiley   +1 more source

An Interactive Method of Linear Mixed Integer Multicriteria Optimization [PDF]

, 2004
The paper describes a learning-oriented interactive method for solving linear mixed integer problems of multicriteria optimization. The method increases the possibilities of the decision maker (DM) to describe his/her local preferences and at the same ...
Genova, Krasimira, Narula, Subhash, Vassilev, Vassil, Vassileva, Mariyana   +3 more
core  

Implied Integrality in Mixed-Integer Optimization

Implied-integer detection is a well-known presolving technique that is used by many Mixed-Integer Linear Programming solvers. Informally, a variable is said to be implied integer if its integrality is enforced implicitly by integrality of other variables and the constraints of a problem.
Rolf van der Hulst, Matthias Walter
openaire   +2 more sources

A Survey of Linear and Mixed-Integer Optimization Tutorials

INFORMS Transactions on Education, 2013
As advanced undergraduate and graduate students in optimization begin conducting research, they must base their work on articles found in academic journals. However, there is often a gap between the levels at which a journal article and a textbook are written.
Alexandra M. Newman, Martin Weiss
openaire   +1 more source