找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Bayesian Optimization for Materials Science; Daniel Packwood Book 2017 The Author(s) 2017 Bayesian optimisation.intermolecular interaction

[復(fù)制鏈接]
查看: 31422|回復(fù): 35
樓主
發(fā)表于 2025-3-21 16:05:38 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Bayesian Optimization for Materials Science
影響因子2023Daniel Packwood
視頻videohttp://file.papertrans.cn/182/181874/181874.mp4
發(fā)行地址Is a timely publication as Bayesian optimization gains interest in materials science, and is one of the few introductions to this method for materials scientists.Makes the mathematical content appeali
學(xué)科分類(lèi)SpringerBriefs in the Mathematics of Materials
圖書(shū)封面Titlebook: Bayesian Optimization for Materials Science;  Daniel Packwood Book 2017 The Author(s) 2017 Bayesian optimisation.intermolecular interaction
影響因子This book provides a short and concise introduction to Bayesian optimization specifically for experimental and computational materials scientists. After explaining the basic idea behind Bayesian optimization and some applications to materials science in Chapter 1, the mathematical theory of Bayesian optimization is outlined in Chapter 2. Finally, Chapter 3 discusses an application of Bayesian optimization to a complicated structure optimization problem in computational surface science..Bayesian optimization is a promising global optimization technique that originates in the field of machine learning and is starting to gain attention in materials science. For the purpose of materials design, Bayesian optimization can be used to predict new materials with novel properties without extensive screening of candidate materials. For the purpose of computational materials science, Bayesian optimization can be incorporated into first-principles calculations to perform efficient, global structure optimizations. While research in these directions has been reported in high-profile journals, until now there has been no textbook aimed specifically at materials scientists who wish to incorporate B
Pindex Book 2017
The information of publication is updating

書(shū)目名稱(chēng)Bayesian Optimization for Materials Science影響因子(影響力)




書(shū)目名稱(chēng)Bayesian Optimization for Materials Science影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Bayesian Optimization for Materials Science網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Bayesian Optimization for Materials Science網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Bayesian Optimization for Materials Science被引頻次




書(shū)目名稱(chēng)Bayesian Optimization for Materials Science被引頻次學(xué)科排名




書(shū)目名稱(chēng)Bayesian Optimization for Materials Science年度引用




書(shū)目名稱(chēng)Bayesian Optimization for Materials Science年度引用學(xué)科排名




書(shū)目名稱(chēng)Bayesian Optimization for Materials Science讀者反饋




書(shū)目名稱(chēng)Bayesian Optimization for Materials Science讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:19:48 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:59:36 | 只看該作者
地板
發(fā)表于 2025-3-22 04:50:43 | 只看該作者
5#
發(fā)表于 2025-3-22 10:21:54 | 只看該作者
Bayesian Optimization of Molecules Adsorbed to Metal Surfaces,int in applying Bayesian optimization to such a simple system, as the full potential energy curve can be quickly calculated using simple quantum chemistry. In this chapter, we consider a more complex situation, consisting of organic molecules adsorbed to a metal surface.
6#
發(fā)表于 2025-3-22 13:47:28 | 只看該作者
https://doi.org/10.1007/978-3-030-73151-9int in applying Bayesian optimization to such a simple system, as the full potential energy curve can be quickly calculated using simple quantum chemistry. In this chapter, we consider a more complex situation, consisting of organic molecules adsorbed to a metal surface.
7#
發(fā)表于 2025-3-22 17:57:38 | 只看該作者
Friedrich Vogel,Arno G. Motulsky M. D.Like any other field of research, materials science involves a lot of trial and error: in the process of creating a new material or device, we will inevitably make several prototypes which fail to perform as hoped.
8#
發(fā)表于 2025-3-23 00:05:56 | 只看該作者
Friedrich Vogel,Arno G. Motulsky M.D.In this chapter, we introduce the theory of Bayesian optimization procedure and illustrate its application to a simple problem. A more involved application of Bayesian optimization will be presented in Chap.?..
9#
發(fā)表于 2025-3-23 05:12:08 | 只看該作者
Overview of Bayesian Optimization in Materials Science,Like any other field of research, materials science involves a lot of trial and error: in the process of creating a new material or device, we will inevitably make several prototypes which fail to perform as hoped.
10#
發(fā)表于 2025-3-23 09:17:39 | 只看該作者
Theory of Bayesian Optimization,In this chapter, we introduce the theory of Bayesian optimization procedure and illustrate its application to a simple problem. A more involved application of Bayesian optimization will be presented in Chap.?..
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-14 00:43
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
扬中市| 九寨沟县| 镇沅| 上杭县| 启东市| 桂阳县| 濮阳市| 高陵县| 修文县| 屯昌县| 赞皇县| 鄄城县| 甘孜| 准格尔旗| 顺昌县| 黎川县| 勃利县| 常熟市| 松原市| 阳信县| 大余县| 安徽省| 姜堰市| 舟曲县| 合江县| 牟定县| 江陵县| 新巴尔虎右旗| 宜丰县| 比如县| 临沂市| 大城县| 杂多县| 福州市| 区。| 景德镇市| 随州市| 贵溪市| 松潘县| 新宾| 响水县|