IBS Publications Repository: Browsing DSpace

BROWSE

IBS Publications Repository

Browsing byAuthor : karolmolga

All A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

가 나 다 라 마 바 사 아 자 차 카 타 파 하

or enter first few letters:

Sort by:
In order:
Results/Page
Authors/Record:

Showing results 1 to 8 of 8

Publication Date2017-07 13. Freiburger Symposium 2017: Green Chemistry –from Concept to Industrial Reality(Synthetic Design with the Chematica Program – The Importance of Accurate Rules and of Higherorder Logic)
Bartosz A. Grzybowski; Sara Szymkuc; Karol Molga, et al
CHIMIA, v.71, no.7-8, pp.512 - 512
Publication Date2020-12 Computational planning of the synthesis of complex natural products
Barbara Mikulak-Klucznik; Patrycja Gołębiowska; Alison A. Bayly, et al
Nature, v.588, pp.83 - 88
Publication Date2020-07 Computer-generated "synthetic contingency" plans at times of logistics and supply problems: Scenarios for hydroxychloroquine and remdesivir
Sara Szymkuć; Ewa P. Gajewska; Karol Molga, et al
CHEMICAL SCIENCE, v.11, no.26, pp.6736 - 6744
Publication Date2018-03 Efficient Syntheses of Diverse, Medicinally Relevant Targets Planned by Computer and Executed in the Laboratory
Tomasz Klucznik; Barbara Mikulak-Klucznik; Michael P.McCormack, et al
CHEM, v.4, no.3, pp.522 - 532
Publication Date2019-02 Navigating around Patented Routes by Preserving Specific Motifs along Computer-Planned Retrosynthetic Pathways
Karol Molga; Piotr Dittwald; Bartosz A. Grzybowski
CHEM, v.5, no.2, pp.460 - 473
Publication Date2019-10 Rapid and Accurate Prediction of p Ka Values of C-H Acids Using Graph Convolutional Neural Networks
Rafał Roszak; Wiktor Beker; Karol Molga, et al
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, v.141, no.43, pp.17142 - 17149
Publication Date2019-05 Selection of cost-effective yet chemically diverse pathways from the networks of computer-generated retrosynthetic plans
Tomasz Badowski; Karol Molga; Bartosz A. Grzybowski
CHEMICAL SCIENCE, v.10, no.17, pp.4640 - 4651
Publication Date2020-01 Synergy Between Expert and Machine-Learning Approaches Allows for Improved Retrosynthetic Planning
Tomasz Badowski; Ewa P. Gajewska; Karol Molga, et al
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, v.59, no.2, pp.725 - 730

1

STATISTICS: Total Visit :8,515,798; Total Download :1,956,152; Today View :119

Copyright (c) 2014 by ibs All right Reserved.

IBS Publications Repository는 국립중앙도서관 OAK 보급사업으로 구축되었습니다.

Browse

IBS